The Impacts of Algorithmic Work Assignment on Fairness Perceptions and Produc…
Problem definition: We study how algorithmic (versus human-based) task assignment processes change task recipients’ fairness perceptions and productivity. Academic/practical relevance: Since algo…
Can Deep Reinforcement Learning Improve Inventory Management? Performance on …
Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory problems? Academic/practical relevance: Given that DRL has successfully been applied in computer games and ro…
Predicting Human Discretion to Adjust Algorithmic Prescription : A Large-Scal…
Conventional optimization algorithms that prescribe order packing instructions (which items to pack in which sequence in which box) focus on box volume utilization yet tend to overlook human behavi…
NetEase Cloud Music Data
This paper describes the impression/display data and corresponding user, creator, and music content card data from NetEase Cloud Music. This data set is collectively supplied by the Revenue Managem…
Customer Choice Models vs. Machine Learning : Finding Optimal Product Display…
We compare the performance of two approaches for finding the optimal set of products to display to customers landing on Alibaba’s two online marketplaces, Tmall and Taobao. We conducted a large-s…
Peer Bargaining and Productivity in Teams : Gender and the Inequitable Divisi…
Problem description: A recent trend in personnel operations is to reduce hierarchy and allow employee teams to self-manage tasks, responsibilities, and rewards. Yet, we know little about how this a…
Information Sharing on Retail Platforms
Problem definition: This paper studies the information-sharing strategy for a retail platform on which multiple competing sellers distribute their products. Academic/practical relevance: Because of…
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